Triple
T25233043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kapha |
E632264
|
entity |
| Predicate | pacifiedBy |
P115823
|
FINISHED |
| Object | regular exercise |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: regular exercise | Statement: [Kapha, pacifiedBy, regular exercise]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pacifiedBy Context triple: [Kapha, pacifiedBy, regular exercise]
-
A.
wasPacifiedBy
chosen
Indicates that an entity became calm, subdued, or brought under control as a result of the actions or influence of another entity.
-
B.
relievedBy
Indicates that one entity eases, reduces, or removes the burden, pain, stress, or responsibility experienced by another entity.
-
C.
typeOfPeace
Indicates a relationship where one entity specifies or classifies the particular kind or category of peace associated with another entity.
-
D.
appeases
Indicates an action where one entity calms, placates, or satisfies another entity to reduce anger, tension, or hostility.
-
E.
maintainedPeaceWith
Indicates that two entities sustained a state of peace or non-conflict with each other over a period of time.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e75a8ec5f88190b9eba06ae42b413a |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f47df5eafc819089a2735bd8177a27 |
completed | May 1, 2026, 10:18 a.m. |
| PD | Predicate disambiguation | batch_69f4683472ec8190a483b3b8afe71720 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 1:06 p.m.